Triple

T28197448
Position Surface form Disambiguated ID Type / Status
Subject Ladies Night E716482 entity
Predicate featuresCover P196539 FINISHED
Object Ladies Night by Kool & the Gang
"Ladies Night" by Kool & the Gang is a 1979 funk and disco classic celebrating women and nightlife that became one of the band's signature hit singles.
 E1808084 NE FINISHED

How this triple was built (3 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ladies Night by Kool & the Gang | Statement: [Ladies Night, featuresCover, Ladies Night by Kool & the Gang]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ladies Night by Kool & the Gang
Triple: [Ladies Night, featuresCover, Ladies Night by Kool & the Gang]
Generated description
"Ladies Night" by Kool & the Gang is a 1979 funk and disco classic celebrating women and nightlife that became one of the band's signature hit singles.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: featuresCover
Context triple: [Ladies Night, featuresCover, Ladies Night by Kool & the Gang]
  • A. featuresHero
    Indicates that something (such as a work, product, or story) prominently includes or centers around a particular hero as a main character or focus.
  • B. cover
    Indicates that one entity extends over, conceals, protects, or provides a surface or layer for another entity.
  • C. featuresText
    Indicates that an entity includes or presents a specific piece of text as one of its characteristics or contents.
  • D. featuresIn
    Indicates that an entity appears or plays a role within another entity, such as a person or element being included in a work, event, or context.
  • E. featuresCross
    Indicates that one feature or element intersects or passes across another in space or structure.
  • F. None of above. chosen

Provenance (7 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69efd6b612f48190a72012b520afbd10 completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69fe5c1a502081909d4024e514309c8e completed May 8, 2026, 9:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15e6b2c6ac8190afa4b7111906ea13 completed May 26, 2026, 6:30 p.m.
NEDg Description generation batch_6a15e8a3694481908032853af3e3116b completed May 26, 2026, 6:38 p.m.
NED2 Entity disambiguation (via description) batch_6a15ec611a488190976e9ff6858ed6a7 completed May 26, 2026, 6:54 p.m.
PD Predicate disambiguation batch_69fe5a9df21c819087153f5d0bcaa987 completed May 8, 2026, 9:50 p.m.
PDg Predicate description generation batch_69fe5c196f4081908f150d4cd6c528fa completed May 8, 2026, 9:56 p.m.
Created at: April 27, 2026, 10:28 p.m.